Inter-trial variability in sensory-evoked cortical hemodynamic responses: The role of the magnitude of pre-stimulus fluctuations

Frontiers in Neuroenergetics

Volumn , Issue NOV, 2012, Pages

  Saka, Mohamad ^a   Berwick, Jason ^b   Jones, Myles ^a,b  

^a KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Barrel cortex; Cortical hemodynamics; Intertrial variability; Optical imaging; Spontaneous fluctuation

Indexed keywords

HEMOGLOBIN;

ANIMAL EXPERIMENT; ARTICLE; BRAIN CORTEX; CONTROLLED STUDY; EVOKED RESPONSE; FEMALE; HEMODYNAMICS; NONHUMAN; RAT; SENSORY EVOKED HEMODYNAMIC RESPONSE; SENSORY STIMULATION; SPECTROSCOPY;

EID: 84872399618     PISSN: None     EISSN: 16626427     Source Type: Journal    
DOI: 10.3389/fnene.2012.00010     Document Type: Article

References (43)

1. Aguirre, G. K., Zarahn, E., and D'Esposito, M. (1998). The variability of human, BOLD hemo-dynamic responses. Neuroimage 8, 360-369.
2. Arieli, A., Sterkin, A., Grinvald, A., and Aertsen, A. (1996). Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses. Science 273, 1868-1871.
3. Becker, R., Reinacher, M., Freyer, E, Villringer, A., and Ritter, P. (2011). How ongoing neuronal oscillations account for evoked FMRI variability. J. Neurosci. 31, 11016-11027.
4. Berwick, J., Johnston, D., Jones, M., Martindale, J., Martin, C., Kennerley, A. J., et al. (2008). Fine detail of neurovascular coupling revealed by spatiotemporal analysis of the hemodynamic response to single whisker stimulation in rat barrel cortex. J. Neurophysiol. 99, 787-798.
5. Berwick, J., Johnston, D., Jones, M., Martindale, J., Redgrave, P., McLoughlin, N., et al. (2005). Neurovascular coupling investigated with two-dimensional optical imaging spectroscopy in rat whisker barrel cortex. Eur. J. Neurosci. 22, 1655-1666.
6. Biswal, B., Yetkin, E Z., Haughton, V. M., and Hyde, J. S. (1995). Functional connectivity in the motor cortex of resting human brain using echoplanar MRI. Magn. Reson. Med. 34, 537-541.
7. Boorman, L., Kennerley, A. J., Johnston, D., Jones, M., Zheng, Y., Redgrave, P., et al. (2010). Negative blood oxygen level dependence in the rat: a model for investigating the role of suppression in neurovascular coupling. J. Neurosci. 30, 4285-4294.
8. Busch, N. A., Dubois, J., and Van-Rullen, R. (2009). The phase of ongoing EEG oscillations predicts visual perception. J. Neurosci. 29, 7869-7876.
9. Devor, A., Dunn, A. K., Andermann, M. L., Ulbert, I., Boas, D. A., and Dale, A. M. (2003). Coupling of total hemoglobin concentration, oxygenation, and neural activity in rat somatosensory cortex. Neuron 39, 353-359.
10. Devor, A., Hillman, E. M., Tian, P., Waeber, C., Teng, I. C., Ruvinskaya, L., et al. (2008). Stimulus-induced changes in blood flow and 2-deoxyglucose uptake dissociate in ipsilateral somatosensory cortex. J. Neurosci. 28, 14347-14357.
11. Fox, M. D., Snyder, A. Z., Zacks, J. M., and Raichle, M. E. (2006). Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses. Nat. Neurosci. 9,23-25.
12. Golanov, E. V., Yamamoto, S., and Reis, D. J. (1994). Spontaneous waves of cerebral blood flow associated with a pattern of electrocortical activity. Am. J. Physiol. 266, R204-R214.
13. Greicius, M. D., Krasnow, B., Reiss, A. L., and Menon, V. (2003). Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc. Natl. Acad. Sci. U.S.A. 100, 253-258.
14. Haslinger, R., Ulbert, I., Moore, C. I., Brown, E. N., and Devor, A. (2006). Analysis of LFP phase predicts sensory response of barrel cortex. J. Neurophysiol. 96, 1658-1663.
15. Herman, P., Sanganahalli, B. G., Sachdev, R. N. S., McCormick, D., and Hyder, F. (2010). Effect of fluctuations in BOLD signal on trial-to-trial variability of BOLD responses. Soc. Neurosci. Abstr. 178.16.
16. Jones, M., Berwick, J., Hewson-Stoate, N., Gias, C., and Mayhew, J. (2005). The effect of hypercapnia on the neural and hemodynamic responses to somatosensory stimulation. Neuroimage 27, 609-623.
17. Jones, M., Berwick, J., Johnston, D., and Mayhew, J. (2001). Concurrent optical imaging spectroscopy and laser-Doppler flowmetry: the relationship between blood flow, oxygenation, and volume in rodent barrel cortex. Neuroimage 13, 1002-1015.
18. Jones, M., Berwick, J., and Mayhew, J. (2002). Changes in blood flow, oxygenation, and volume following extended stimulation of rodent barrel cortex. Neuroimage 15, 474-487.
19. Jones, M., Devonshire, I. M., Berwick, J., Martin, C., Redgrave, P., and Mayhew, J. (2008). Altered neurovascular coupling during information-processing states. Eur. J. Neurosci. 27, 2758-2772.
20. Jones, M., Hewson-Stoate, N., Martindale, J., Redgrave, P., and Mayhew, J. (2004). Nonlinear coupling of neural activity and CBF in rodent barrel cortex. Neuroimage 22, 956-965.
21. Kennerley, A. J., Berwick, J., Martindale, J., Johnston, D., Papadakis, N., and Mayhew, J. E. (2005). Concurrent fMRI and optical measures for the investigation of the hemodynamic response function. Magn. Reson. Med. 54, 354-365.
22. Kwong, K. K., Belliveau, J. W., Chesler, D. A., Goldberg, I. E., Weisskoff, R. M., Poncelet, B. P., et al. (1992). Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. Proc. Natl. Acad. Sci. U.S.A. 89, 5675-5679.
23. Le Van Quyen, M., and Bragin, A. (2007). Analysis of dynamic brain oscillations: methodological advances. Trends Neurosci. 30, 365-373.
24. Le Van Quyen, M., Foucher, J., Lachaux, J., Rodriguez, E., Lutz, A., Martinerie, J., et al. (2001). Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony. J. Neurosci. Methods 111,83-98.
25. Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., and Oeltermann, A. (2001). Neurophysiological investigation of the basis of the fMRI signal. Nature 412,150-157.
26. Lowe, M. J., Mock, B. J., and Sorenson, J. A. (1998). Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations. Neuroimage 7, 119-132.
27. Majeed, W., Magnuson, M., and Keilholz, S. D. (2009). Spatiotemporal dynamics of low frequency fluctuations in BOLD fMRI of the rat. J. Magn. Reson. Imaging 30, 384-393.
28. Mayhew, J., Johnston, D., Berwick, J., Jones, M., Coffey, P., and Zheng, Y. (2000). Spectroscopic analysis of neural activity in brain: increased oxygen consumption following activation of barrel cortex. Neuroimage 12, 664-675.
29. Mayhew, J., Zheng, Y., Hou, Y., Vuksanovic, B., Berwick, J., Askew, S., et al. (1999). Spectroscopic analysis of changes in remitted illumination: the response to increased neural activity in brain. Neuroimage 10, 304-326.
30. Mayhew, J. E., Askew, S., Zheng, Y., Porrill, J., Westby, G. W., Redgrave, P., et al. (1996). Cerebral vasomotion: a0.1-Hz oscillation in reflected light imaging of neural activity. Neuroimage 4, 183-193.
31. Molgedey, L., and Schuster, H. G. (1994). Separation of a mixture of independent signals using time delayed correlations. Phys. Rev. Lett. 72, 3634-3637.
32. Monto, S., Palva, S., Voipio, J., and Palva, J. M. (2008). Very slow EEG fluctuations predict the dynamics of stimulus detection and oscillation amplitudes in humans. J. Neurosci. 28,8268-8272.
33. Obrig, H., Neufang, M., Wenzel, R., Kohl, M., Steinbrink, J., Einhaupl, K., et al. (2000). Spontaneous low frequency oscillations of cerebral hemodynamics and metabolism in human adults. Neuroimage 12, 623-639.
34. Ogawa, S., Tank, D. W., Menon, R., Ellermann, J. M., Kim, S. G., and Merkle, H., et al. (1992). Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging. Proc. Natl. Acad. Sci. U.S.A. 89,5951-5955.
35. Pikovsky, A., Rosenblum, M., and Kurths, J. (2001). Synchronization - A Universal Concept in Nonlinear Sciences. Cambridge: Cambridge University Press.
36. Saka, M., Berwick, J., and Jones, M. (2010). Linear superposition of sensory-evoked and ongoing cortical hemodynamics. Front. Neuro energetics 2:23. doi:10.3389/fnene.2010.00023
37. Scheeringa, R., Mazaheri, A., Bojak, I., Norris, D. G., and Kleinschmidt, A. (2011). Modulation of visually evoked cortical FMRI responses by phase of ongoing occipital alpha oscillations. J. Neurosci. 31, 3813-3820.
38. Schroeder, C. E., and Lakatos, P. (2009). Low-frequency neuronal oscillations as instruments of sensory selection. Trends Neurosci. 32, 9-18.
39. Sheth, S., Nemoto, M., Guiou, M., Walker, M., Pouratian, N., and Toga, A. W. (2003). Evaluation of coupling between optical intrinsic signals and neuronal activity in rat somatosensory cortex. Neuroimage 19, 884-894.
40. Shmuel, A., and Leopold, D. A. (2008). Neuronal correlates of spontaneous fluctuations in fMRI signals in monkey visual cortex: implications for functional connectivity at rest. Hum. Brain Mapp. 29,751-761.
41. Spitzer, M. W., Calford, M. B., Clarey, J. C., Pettigrew, J. D., and Roe, A. W. (2001). Spontaneous and stimulus-evoked intrinsic optical signals in primary auditory cortex of the cat. J. Neurophysiol. 85, 1283-1298.
42. VanRullen, R., and Koch, C. (2003). Is perception discrete or continuous? Trends Cogn. Sci. 7, 207-213.
43. Zheng, Y., Johnston, D., Berwick, J., andMayhew,J. (2001).Signalsource separation in the analysis of neural activity in brain. Neuroimage 13, 447-458.